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Case study · Startup

Replacing buzzword matching with verified, credibility-scored candidates

An MVP recruitment platform for Credalgo, matching candidates to roles by verified experience and psychometric testing, not keyword filters.

Django Python

On time & on budget

MVP delivered within a fixed grant-funding budget and timeline

Grant-funded

Taken from concept to a working platform inside grant constraints

Django

Python framework powering the credibility-matching engine

The client

Credalgo (a mashup of “credibility” and “algorithm”) is a recruitment platform built by a founder who spent years as a recruitment consultant working inside traditional Applicant Tracking Systems (ATS). Frustrated by how little those systems actually verified about a candidate beyond keyword matches, he wanted to build something better: a platform that gives employers a genuine, verified read on a candidate, and gives candidates a fairer shot than a buzzword-matching algorithm.

The challenges

What we delivered

  • ✓An MVP built on Python’s Django framework, scoped and delivered within the grant’s budget and timeline.
  • ✓A candidate profile and verification system, combining peer and colleague authentication with psychometric testing into a single credibility score.
  • ✓A matching engine that scores candidates against a role’s actual selection criteria, not surface-level keyword matches.
  • ✓Close, collaborative delivery with a founder who needed a technical partner as invested in getting it right as he was.

The outcome

  • ✓MVP delivered on time and on budget, inside the constraints of grant funding.
  • ✓A working, credibility-scored alternative to keyword-matching CVs and ATS systems, built and ready to take to candidates and employers.

The founder’s take

“Credalgo's founder had lived the frustration of traditional ATS systems first-hand as a recruitment consultant, and knew exactly what a better experience needed to look like for candidates and employers alike. Delivering the MVP on time and on budget, inside a fixed grant-funding window, is exactly the kind of constraint we're built for.”

Thomas Madden

Founder & CEO, IO Analytics

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